Published July 22, 2025
| Version v1
Lesson
Open
AI Assisted Literature Reviews Course
Authors/Creators
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Worthington, Simon1
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Kumari, Renu2
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Murray-Rust, Peter3
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Yadav, Gitanjali2
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Barbhuiya, Shabnam
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Hamadani, Ambreen
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Jawed, Moobashara
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Rahr, Anna Sophia Kea Charlott1
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Avika, Joshi
- Mandakala, Deepika
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Suresh, Anudev
- Vallabhaneni, Haarthi
- Mishra, Saurav
- Kushwaha, Anushka
- Balachandran, Malavika
- Mahawar, Harshita
- Zainab, Shaik
- 1. Technische Informationsbibliothek (TIB)
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2.
National Institute of Plant Genome Research
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3.
University of Cambridge Department of Chemistry
Description
The course covers how to use a self-hosted open-source AI LLM RAG (Retrieval-Augmented Generation) assisted literature review system with supporting user learning material. The system is for: using open access literature repositories; is based on open science (open scholarship) principles; is globally equitable, inclusive, and multilingual, and; is independent of commercial providers.
Repo and info | Discussion and support: Full course details, Jupyter Notebooks, presentations, and videos. The course videos are three hours in total.
Course units are:
- Corpus creation: Open Access repository retreival and analysis
- Vibe coding: Coding with an AI assistant — Corpus creation
- PDF summarisation
- Image classification
- Image extraction
- Named entity recognition (NER): Entities and concepts
- LLM and RAG: For PDF and HTML
Files
AI-Assisted-Literature-Reviews-Course.pdf
Files
(56.3 kB)
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Additional details
Additional titles
- Subtitle (English)
- Using Globally Equitable AI LLMs on Open Access Research Literature Repositories
Software
- Programming language
- Python